{"title":"黑人通勤:加拿大的补偿性差异和黑白工资差距","authors":"Maryam Dilmaghani","doi":"10.1108/ijm-01-2023-0042","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>Using the Canadian Census of 2016, the present study examines the Black and White gap in compensating differentials for their commute to work.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The data are from the Canadian Census of 2016. The standard Mincerian wage regression, augmented by commute-related variables and their confounders, is estimated by OLS. The estimations use sample weights and heteroscedasticity robust standard errors.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>In the standard Mincerian wage regressions, Black men are found to earn non-negligibly less than White men. No such gap is found among women. When the Mincerian wage equation is augmented by commute duration and its confounders, commute duration is revealed to positively predict wages of White men and negatively associate with wages of Black men. At the same time, in the specifications including commute duration and its confounders, the coefficient for the dummy variable identifying Black men is positive with a non-negligible size. The latter pattern indicates wage discrepancies among Black men by their commute duration. Again, no difference is found between Black and White women in these estimations.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>The main caveat is that due to data limitations, causal estimates could not be produced.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>For the Canadian working men, the uncovered patterns indicate both between and within race gaps in the impact of commuting on wages. Particularly, Black men seem to commute longer towards relatively lower paying jobs, while the opposite holds for their White counterparts. However, Black men who reside close to their work earn substantially more than both otherwise identical White men and Black men who live far away from their jobs. The implications for research and policy are discussed.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This is the first paper focused on commute compensating differentials by race using Canadian data.</p><!--/ Abstract__block -->","PeriodicalId":47915,"journal":{"name":"International Journal of Manpower","volume":"27 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Commuting while Black: compensating differentials and Black–White wage gap in Canada\",\"authors\":\"Maryam Dilmaghani\",\"doi\":\"10.1108/ijm-01-2023-0042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>Using the Canadian Census of 2016, the present study examines the Black and White gap in compensating differentials for their commute to work.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>The data are from the Canadian Census of 2016. The standard Mincerian wage regression, augmented by commute-related variables and their confounders, is estimated by OLS. The estimations use sample weights and heteroscedasticity robust standard errors.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>In the standard Mincerian wage regressions, Black men are found to earn non-negligibly less than White men. No such gap is found among women. When the Mincerian wage equation is augmented by commute duration and its confounders, commute duration is revealed to positively predict wages of White men and negatively associate with wages of Black men. At the same time, in the specifications including commute duration and its confounders, the coefficient for the dummy variable identifying Black men is positive with a non-negligible size. The latter pattern indicates wage discrepancies among Black men by their commute duration. Again, no difference is found between Black and White women in these estimations.</p><!--/ Abstract__block -->\\n<h3>Research limitations/implications</h3>\\n<p>The main caveat is that due to data limitations, causal estimates could not be produced.</p><!--/ Abstract__block -->\\n<h3>Practical implications</h3>\\n<p>For the Canadian working men, the uncovered patterns indicate both between and within race gaps in the impact of commuting on wages. Particularly, Black men seem to commute longer towards relatively lower paying jobs, while the opposite holds for their White counterparts. However, Black men who reside close to their work earn substantially more than both otherwise identical White men and Black men who live far away from their jobs. The implications for research and policy are discussed.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>This is the first paper focused on commute compensating differentials by race using Canadian data.</p><!--/ Abstract__block -->\",\"PeriodicalId\":47915,\"journal\":{\"name\":\"International Journal of Manpower\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Manpower\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1108/ijm-01-2023-0042\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INDUSTRIAL RELATIONS & LABOR\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Manpower","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/ijm-01-2023-0042","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INDUSTRIAL RELATIONS & LABOR","Score":null,"Total":0}
Commuting while Black: compensating differentials and Black–White wage gap in Canada
Purpose
Using the Canadian Census of 2016, the present study examines the Black and White gap in compensating differentials for their commute to work.
Design/methodology/approach
The data are from the Canadian Census of 2016. The standard Mincerian wage regression, augmented by commute-related variables and their confounders, is estimated by OLS. The estimations use sample weights and heteroscedasticity robust standard errors.
Findings
In the standard Mincerian wage regressions, Black men are found to earn non-negligibly less than White men. No such gap is found among women. When the Mincerian wage equation is augmented by commute duration and its confounders, commute duration is revealed to positively predict wages of White men and negatively associate with wages of Black men. At the same time, in the specifications including commute duration and its confounders, the coefficient for the dummy variable identifying Black men is positive with a non-negligible size. The latter pattern indicates wage discrepancies among Black men by their commute duration. Again, no difference is found between Black and White women in these estimations.
Research limitations/implications
The main caveat is that due to data limitations, causal estimates could not be produced.
Practical implications
For the Canadian working men, the uncovered patterns indicate both between and within race gaps in the impact of commuting on wages. Particularly, Black men seem to commute longer towards relatively lower paying jobs, while the opposite holds for their White counterparts. However, Black men who reside close to their work earn substantially more than both otherwise identical White men and Black men who live far away from their jobs. The implications for research and policy are discussed.
Originality/value
This is the first paper focused on commute compensating differentials by race using Canadian data.
期刊介绍:
■Employee welfare ■Human aspects during the introduction of technology ■Human resource recruitment, retention and development ■National and international aspects of HR planning ■Objectives of human resource planning and forecasting requirements ■The working environment